{"id":"W3199809021","doi":"10.32920/ryerson.14656728.v1","title":"Security and collision in RFID systems","year":2021,"lang":"en","type":"preprint","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Radio-frequency identification; Hash function; Authentication (law); Computer security; Timestamp; Authentication protocol; Identification (biology); Cryptography; Computer network; Encryption; Protocol (science)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003757835,0.0006082713,0.0008688321,0.001132346,0.002249509,0.004640817,0.001036196,0.002826746,0.004115572],"category_scores_gemma":[0.01246269,0.0005825226,0.0007959187,0.001474974,0.003928856,0.004921651,0.004618742,0.002353972,0.0007366643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170136,"about_ca_system_score_gemma":0.001119508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008018257,"about_ca_topic_score_gemma":0.0001910498,"domain_scores_codex":[0.9932293,0.002679365,0.0004193268,0.000882351,0.002191114,0.0005984719],"domain_scores_gemma":[0.9915172,0.005232756,0.0009930783,0.001166944,0.0009366501,0.0001533809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003167461,0.0000528092,0.002377979,0.0002976656,0.00009779855,0.001054502,0.001178124,0.04487666,0.005149566,0.901848,0.003080189,0.03966992],"study_design_scores_gemma":[0.0001333851,0.0002292133,0.0006385275,0.0001702183,0.00009202094,0.001997899,0.0004396903,0.3352104,0.008793208,0.6222965,0.02989715,0.0001018449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1078621,0.0115054,0.8207148,0.005399112,0.0010273,0.0002822505,0.0001190561,0.000638873,0.05245112],"genre_scores_gemma":[0.9601875,0.002052413,0.02783211,0.0004173493,0.0003199382,0.0001523968,0.00005481646,0.00003533679,0.008948194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004640817,"threshold_uncertainty_score":0.01987356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00570405400687602,"score_gpt":0.2113442913395484,"score_spread":0.2056402373326724,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}